What is Statistical Significance? Complete Guide to P-Values, Confidence & Data Reliability
Understand statistical significance and why it determines whether results are meaningful. Learn about p-values, confidence levels, and how to interpret research findings correctly.
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What is Statistical Significance?
Statistical significance indicates whether the results of a study are likely to reflect a real effect rather than random chance. It’s a key concept in validating scientific findings.
Key Terms
P-Value: The probability that results occurred by chance. A p-value below 0.05 usually means the results are statistically significant.
Confidence Level: Indicates how sure we are about the result, often set at 95%.
Effect Size: Describes the strength or magnitude of the relationship between variables.
Why It Matters
Helps determine if results are trustworthy.
Supports or rejects research hypotheses.
Guides decision-making in scientific studies.
Summary
Statistical significance helps researchers separate meaningful findings from random noise. It ensures that scientific conclusions are backed by evidence, not coincidence.
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